{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Self-Driving Car Engineer Nanodegree\n",
    "\n",
    "\n",
    "## Project: **Finding Lane Lines on the Road** \n",
    "***\n",
    "In this project, you will use the tools you learned about in the lesson to identify lane lines on the road.  You can develop your pipeline on a series of individual images, and later apply the result to a video stream (really just a series of images). Check out the video clip \"raw-lines-example.mp4\" (also contained in this repository) to see what the output should look like after using the helper functions below. \n",
    "\n",
    "Once you have a result that looks roughly like \"raw-lines-example.mp4\", you'll need to get creative and try to average and/or extrapolate the line segments you've detected to map out the full extent of the lane lines.  You can see an example of the result you're going for in the video \"P1_example.mp4\".  Ultimately, you would like to draw just one line for the left side of the lane, and one for the right.\n",
    "\n",
    "In addition to implementing code, there is a brief writeup to complete. The writeup should be completed in a separate file, which can be either a markdown file or a pdf document. There is a [write up template](https://github.com/udacity/CarND-LaneLines-P1/blob/master/writeup_template.md) that can be used to guide the writing process. Completing both the code in the Ipython notebook and the writeup template will cover all of the [rubric points](https://review.udacity.com/#!/rubrics/322/view) for this project.\n",
    "\n",
    "---\n",
    "Let's have a look at our first image called 'test_images/solidWhiteRight.jpg'.  Run the 2 cells below (hit Shift-Enter or the \"play\" button above) to display the image.\n",
    "\n",
    "**Note: If, at any point, you encounter frozen display windows or other confounding issues, you can always start again with a clean slate by going to the \"Kernel\" menu above and selecting \"Restart & Clear Output\".**\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The tools you have are color selection, region of interest selection, grayscaling, Gaussian smoothing, Canny Edge Detection and Hough Tranform line detection.  You  are also free to explore and try other techniques that were not presented in the lesson.  Your goal is piece together a pipeline to detect the line segments in the image, then average/extrapolate them and draw them onto the image for display (as below).  Once you have a working pipeline, try it out on the video stream below.**\n",
    "\n",
    "---\n",
    "\n",
    "<figure>\n",
    " <img src=\"examples/line-segments-example.jpg\" width=\"380\" alt=\"Combined Image\" />\n",
    " <figcaption>\n",
    " <p></p> \n",
    " <p style=\"text-align: center;\"> Your output should look something like this (above) after detecting line segments using the helper functions below </p> \n",
    " </figcaption>\n",
    "</figure>\n",
    " <p></p> \n",
    "<figure>\n",
    " <img src=\"examples/laneLines_thirdPass.jpg\" width=\"380\" alt=\"Combined Image\" />\n",
    " <figcaption>\n",
    " <p></p> \n",
    " <p style=\"text-align: center;\"> Your goal is to connect/average/extrapolate line segments to get output like this</p> \n",
    " </figcaption>\n",
    "</figure>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Run the cell below to import some packages.  If you get an `import error` for a package you've already installed, try changing your kernel (select the Kernel menu above --> Change Kernel).  Still have problems?  Try relaunching Jupyter Notebook from the terminal prompt.  Also, consult the forums for more troubleshooting tips.**  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing some useful packages\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "import numpy as np\n",
    "import cv2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read in an Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This image is: <class 'numpy.ndarray'> with dimensions: (540, 960, 3)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x25b4402e710>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25b43fac358>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#reading in an image\n",
    "image = mpimg.imread('test_images/solidWhiteRight.jpg')\n",
    "\n",
    "#printing out some stats and plotting\n",
    "print('This image is:', type(image), 'with dimensions:', image.shape)\n",
    "plt.imshow(image)  # if you wanted to show a single color channel image called 'gray', for example, call as plt.imshow(gray, cmap='gray')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ideas for Lane Detection Pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Some OpenCV functions (beyond those introduced in the lesson) that might be useful for this project are:**\n",
    "\n",
    "`cv2.inRange()` for color selection  \n",
    "`cv2.fillPoly()` for regions selection  \n",
    "`cv2.line()` to draw lines on an image given endpoints  \n",
    "`cv2.addWeighted()` to coadd / overlay two images\n",
    "`cv2.cvtColor()` to grayscale or change color\n",
    "`cv2.imwrite()` to output images to file  \n",
    "`cv2.bitwise_and()` to apply a mask to an image\n",
    "\n",
    "**Check out the OpenCV documentation to learn about these and discover even more awesome functionality!**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below are some helper functions to help get you started. They should look familiar from the lesson!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "\n",
    "def grayscale(img):\n",
    "    return cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\n",
    "#     return cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # use BGR2GRAY if you read an image with cv2.imread()\n",
    "    \n",
    "def canny(img, low_threshold, high_threshold):\n",
    "\t#  Image Binarization with canny operator\n",
    "    return cv2.Canny(img, low_threshold, high_threshold)\n",
    "\n",
    "def gaussian_blur(img, kernel_size):\n",
    "\t#\tgaussian filter by (kernel_size,kernel_size) operator\n",
    "    return cv2.GaussianBlur(img, (kernel_size, kernel_size), 0)\n",
    "\n",
    "def region_of_interest(img, vertices):\n",
    "    #defining a blank mask to start with\n",
    "    mask = np.zeros_like(img)   \n",
    "    \n",
    "    #defining a 3 channel or 1 channel color to fill the mask, depending on the input image\n",
    "    if len(img.shape) > 2:\n",
    "        channel_count = img.shape[2]  # i.e. 3 or 4 depending on your image\n",
    "        ignore_mask_color = (255,) * channel_count\n",
    "    else:\n",
    "        ignore_mask_color = 255\n",
    "        \n",
    "    #filling pixels inside the polygon defined by \"vertices\" with the fill color    \n",
    "    cv2.fillPoly(mask, vertices, ignore_mask_color)\n",
    "    \n",
    "    #returning the image only where mask pixels are nonzero\n",
    "    masked_image = cv2.bitwise_and(img, mask)\n",
    "    return masked_image\n",
    "\n",
    "def draw_lines(img, lines, color=[255, 0, 0], thickness=8):\n",
    "    for line in lines:\n",
    "        for x1,y1,x2,y2 in line:\n",
    "            cv2.line(img, (x1, y1), (x2, y2), color, thickness)\n",
    "\n",
    "def Ltopend(arr,imshape):\n",
    "\t#\treturn the top point(x0,y0) and end point(x1,y1) of the line\n",
    "    Arr = np.concatenate(arr, axis=0)\n",
    "    k = sum(Arr[:,1]-Arr[:,3])/sum(Arr[:,0]-Arr[:,2])\n",
    "    b = Arr[0][1]-k*Arr[0][0]\n",
    "    \n",
    "    x0 = int((imshape[0]-b)//k)\n",
    "    y0 = imshape[0]\n",
    "    for i in Arr:\n",
    "        if i[3] == min(min(Arr[:,1]),min(Arr[:,3])):\n",
    "            x1,y1 = i[3],i[2]\n",
    "        elif i[1] == min(min(Arr[:,1]),min(Arr[:,3])):\n",
    "            x1,y1 = i[1],i[0]\n",
    "    return ((x0,y0),(y1,x1))\n",
    "\n",
    "def draw_lines2(img, lines, color=[255, 0, 0], thickness=14):\n",
    "\t# updated draw_lines function\n",
    "    le,ri= [],[]\n",
    "    for line in lines:\n",
    "        for x1,y1,x2,y2 in line:\n",
    "            if (y2-y1)/(x2-x1)<0:\n",
    "                le.append(line)\n",
    "            else:\n",
    "                ri.append(line)\n",
    "    le = np.array(le)\n",
    "    ri = np.array(ri)\n",
    "    points = Ltopend(le,img.shape)\n",
    "    cv2.line(img, points[0], points[1], color, thickness)\n",
    "    points = Ltopend(ri,img.shape)\n",
    "    cv2.line(img, points[0], points[1], color, thickness)    \n",
    "            \n",
    "def hough_lines(img, rho, theta, threshold, min_line_len, max_line_gap,flag=0):\n",
    "\t#\taccording to the HoughLinesP to get the lines, then draw them\n",
    "    lines = cv2.HoughLinesP(img, rho, theta, threshold, np.array([]), minLineLength=min_line_len, maxLineGap=max_line_gap)\n",
    "    line_img = np.zeros((img.shape[0], img.shape[1], 3), dtype=np.uint8)\n",
    "    if flag:\n",
    "        draw_lines2(line_img, lines,img.shape)\n",
    "    else:\n",
    "        draw_lines(line_img, lines)\n",
    "    return line_img\n",
    "\n",
    "def weighted_img(img, initial_img, α=0.8, β=1., γ=0.):\n",
    "\t#\timage blending\n",
    "    return cv2.addWeighted(initial_img, α, img, β, γ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Images\n",
    "\n",
    "Build your pipeline to work on the images in the directory \"test_images\"  \n",
    "**You should make sure your pipeline works well on these images before you try the videos.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in and grayscale the image\n",
    "import os\n",
    "\n",
    "files = {}\n",
    "for file in os.listdir(\"test_images/\"):\n",
    "    path = os.path.join(\"test_images/\",file)\n",
    "    image = mpimg.imread(path)\n",
    "    name = str(file[:file.rfind('.')])\n",
    "    files[name] = image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build a Lane Finding Pipeline\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Build the pipeline and run your solution on all test_images. Make copies into the `test_images_output` directory, and you can use the images in your writeup report.\n",
    "\n",
    "Try tuning the various parameters, especially the low and high Canny thresholds as well as the Hough lines parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25b34d4ea58>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def showimg(subplace, title, _img):\n",
    "\t#\tdesign a subplot_imshow funciton\n",
    "    plt.subplot(*subplace)\n",
    "    plt.title(title)\n",
    "    if len(_img.shape) == 3:\n",
    "        plt.imshow(_img)\n",
    "    else:\n",
    "        plt.imshow(_img, cmap='gray')\n",
    "\n",
    "#\tfrom loca upload some images\n",
    "names = []\n",
    "for file in os.listdir(\"test_images/\"):\n",
    "    names.append(str(file[:file.rfind('.')]))\n",
    "    \n",
    "#\timage->grayscale->gaussian_blur->canny->edges\n",
    "name = names[1]\n",
    "image = files[name]\n",
    "gray = grayscale(image)\n",
    "blur_gray = gaussian_blur(gray,7)\n",
    "edges = canny(blur_gray, 50, 150)\n",
    "\n",
    "#\tNext we'll create a masked edges image using cv2.fillPoly() to get the region of interest\n",
    "mask = np.zeros_like(edges)   \n",
    "ignore_mask_color = 255   \n",
    "imshape = image.shape\n",
    "\n",
    "vertices = np.array([[(0,imshape[0]),(410, 330), (550, 330), (imshape[1],imshape[0])]], dtype=np.int32)\n",
    "masked_edges = region_of_interest(edges,vertices)\n",
    "\n",
    "#\tDefine the Hough transform parameters\n",
    "rho = 1                             # distance resolution in pixels of the Hough grid\n",
    "theta = np.pi/180                   # angular resolution in radians of the Hough grid\n",
    "threshold = 15                      # minimum number of votes (intersections in Hough grid cell)\n",
    "min_line_length = 25                 # minimum number of pixels making up a line\n",
    "max_line_gap = 25                   # maximum gap in pixels between connectable line segments\n",
    "line_image = np.copy(image)*0       # creating a blank to draw lines on\n",
    "\n",
    "#\tRun Hough on edge detected image\n",
    "line_image = hough_lines(masked_edges, rho, theta, threshold, min_line_length, max_line_gap,flag=1)\n",
    "\n",
    "#\tCreate the combined image, show and save it\n",
    "color_edges = np.dstack((edges, edges, edges)) \n",
    "finalimg = weighted_img(line_image,image)\n",
    "# plt.savefig(\"out\"+name)\n",
    "\n",
    "#\tdebug with images to show\n",
    "plt.figure(figsize=[16, 9])\n",
    "for i, imgname in enumerate(['image', 'gray', 'blur_gray', 'edges', 'masked_edges','line_image']):\n",
    "    showimg((2, 3, i+1), imgname, eval(imgname))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test on Videos\n",
    "\n",
    "You know what's cooler than drawing lanes over images? Drawing lanes over video!\n",
    "\n",
    "We can test our solution on two provided videos:\n",
    "\n",
    "`solidWhiteRight.mp4`\n",
    "\n",
    "`solidYellowLeft.mp4`\n",
    "\n",
    "**Note: if you get an import error when you run the next cell, try changing your kernel (select the Kernel menu above --> Change Kernel). Still have problems? Try relaunching Jupyter Notebook from the terminal prompt. Also, consult the forums for more troubleshooting tips.**\n",
    "\n",
    "**If you get an error that looks like this:**\n",
    "```\n",
    "NeedDownloadError: Need ffmpeg exe. \n",
    "You can download it by calling: \n",
    "imageio.plugins.ffmpeg.download()\n",
    "```\n",
    "**Follow the instructions in the error message and check out [this forum post](https://discussions.udacity.com/t/project-error-of-test-on-videos/274082) for more troubleshooting tips across operating systems.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import everything needed to edit/save/watch video clips\n",
    "from moviepy.editor import VideoFileClip\n",
    "from IPython.display import HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_image(image, ignore_mask_color = 255, rho = 1, theta = np.pi/180, threshold = 15, min_line_length = 25,max_line_gap = 25):\n",
    "\t# gray\n",
    "    gray = grayscale(image)\n",
    "    \n",
    "    # blur_gray\n",
    "    blur_gray = gaussian_blur(gray,7)\n",
    "    \n",
    "    # edges\n",
    "    edges = canny(blur_gray, 50, 150) \n",
    "    \n",
    "    # region-of-interest\n",
    "    imshape = image.shape\n",
    "    mask = np.zeros_like(edges)   \n",
    "    vertices = np.array([[(0,imshape[0]),(410, 330), (550, 330), (imshape[1],imshape[0])]], dtype=np.int32)\n",
    "    masked_edges = region_of_interest(edges,vertices)\n",
    "\n",
    "\t# creating a blank to draw lines on\n",
    "    line_image = np.copy(image)*0       \n",
    "\n",
    "    # Run Hough on edge detected image\n",
    "    line_image = hough_lines(masked_edges, rho, theta, threshold, min_line_length, max_line_gap,flag=0)\n",
    "\n",
    "    # Create the combined image, show and save it\n",
    "    color_edges = np.dstack((edges, edges, edges)) \n",
    "    finalimg = weighted_img(line_image,image)\n",
    "    return finalimg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try the one with the solid white lane on the right first ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] >>>> Building video test_videos_output/solidWhiteRight.mp4\n",
      "[MoviePy] Writing video test_videos_output/solidWhiteRight.mp4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████▉| 221/222 [00:03<00:00, 72.18it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] Done.\n",
      "[MoviePy] >>>> Video ready: test_videos_output/solidWhiteRight.mp4 \n",
      "\n",
      "CPU times: user 5.34 s, sys: 1.73 s, total: 7.07 s\n",
      "Wall time: 3.47 s\n"
     ]
    }
   ],
   "source": [
    "white_output = 'test_videos_output/solidWhiteRight.mp4'\n",
    "## To speed up the testing process you may want to try your pipeline on a shorter subclip of the video\n",
    "## To do so add .subclip(start_second,end_second) to the end of the line below\n",
    "## Where start_second and end_second are integer values representing the start and end of the subclip\n",
    "## You may also uncomment the following line for a subclip of the first 5 seconds\n",
    "##clip1 = VideoFileClip(\"test_videos/solidWhiteRight.mp4\").subclip(0,5)\n",
    "clip1 = VideoFileClip(\"test_videos/solidWhiteRight.mp4\")\n",
    "white_clip = clip1.fl_image(process_image) #NOTE: this function expects color images!!\n",
    "%time white_clip.write_videofile(white_output, audio=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Play the video inline, or if you prefer find the video in your filesystem (should be in the same directory) and play it in your video player of choice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<video width=\"960\" height=\"540\" controls>\n",
       "  <source src=\"test_videos_output/solidWhiteRight.mp4\">\n",
       "</video>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HTML(\"\"\"\n",
    "<video width=\"960\" height=\"540\" controls>\n",
    "  <source src=\"{0}\">\n",
    "</video>\n",
    "\"\"\".format(white_output))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Improve the draw_lines() function\n",
    "\n",
    "**At this point, if you were successful with making the pipeline and tuning parameters, you probably have the Hough line segments drawn onto the road, but what about identifying the full extent of the lane and marking it clearly as in the example video (P1_example.mp4)?  Think about defining a line to run the full length of the visible lane based on the line segments you identified with the Hough Transform. As mentioned previously, try to average and/or extrapolate the line segments you've detected to map out the full extent of the lane lines. You can see an example of the result you're going for in the video \"P1_example.mp4\".**\n",
    "\n",
    "**Go back and modify your draw_lines function accordingly and try re-running your pipeline. The new output should draw a single, solid line over the left lane line and a single, solid line over the right lane line. The lines should start from the bottom of the image and extend out to the top of the region of interest.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now for the one with the solid yellow lane on the left. This one's more tricky!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def process_image(image):\n",
    "    #canny\n",
    "    gray = grayscale(image)\n",
    "    blur_gray = gaussian_blur(gray,7)\n",
    "    edges = canny(blur_gray, 50, 150)\n",
    "\n",
    "    # Next we'll create a masked edges image using cv2.fillPoly()\n",
    "    mask = np.zeros_like(edges)   \n",
    "    ignore_mask_color = 255   \n",
    "\n",
    "    # define the region-of-interest\n",
    "    imshape = image.shape\n",
    "    vertices = np.array([[(0,imshape[0]),(410, 330), (550, 330), (imshape[1],imshape[0])]], dtype=np.int32)\n",
    "    masked_edges = region_of_interest(edges,vertices)\n",
    "\n",
    "    # Define the Hough transform parameters\n",
    "    rho = 1                             # distance resolution in pixels of the Hough grid\n",
    "    theta = np.pi/180                   # angular resolution in radians of the Hough grid\n",
    "    threshold = 15                      # minimum number of votes (intersections in Hough grid cell)\n",
    "    min_line_length = 25                 # minimum number of pixels making up a line\n",
    "    max_line_gap = 25                   # maximum gap in pixels between connectable line segments\n",
    "    line_image = np.copy(image)*0       # creating a blank to draw lines on\n",
    "\n",
    "    # Run Hough on edge detected image\n",
    "    line_image = hough_lines(masked_edges, rho, theta, threshold, min_line_length, max_line_gap,flag=1)\n",
    "\n",
    "    # Create the combined image, show and save it\n",
    "    color_edges = np.dstack((edges, edges, edges)) \n",
    "    finalimg = weighted_img(line_image,image)\n",
    "    return finalimg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] >>>> Building video test_videos_output/solidYellowLeft.mp4\n",
      "[MoviePy] Writing video test_videos_output/solidYellowLeft.mp4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████▉| 681/682 [00:12<00:00, 52.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] Done.\n",
      "[MoviePy] >>>> Video ready: test_videos_output/solidYellowLeft.mp4 \n",
      "\n",
      "CPU times: user 21.5 s, sys: 6.83 s, total: 28.3 s\n",
      "Wall time: 13.3 s\n"
     ]
    }
   ],
   "source": [
    "yellow_output = 'test_videos_output/solidYellowLeft.mp4'\n",
    "## To speed up the testing process you may want to try your pipeline on a shorter subclip of the video\n",
    "## To do so add .subclip(start_second,end_second) to the end of the line below\n",
    "## Where start_second and end_second are integer values representing the start and end of the subclip\n",
    "## You may also uncomment the following line for a subclip of the first 5 seconds\n",
    "##clip2 = VideoFileClip('test_videos/solidYellowLeft.mp4').subclip(0,5)\n",
    "clip2 = VideoFileClip('test_videos/solidYellowLeft.mp4')\n",
    "yellow_clip = clip2.fl_image(process_image)\n",
    "%time yellow_clip.write_videofile(yellow_output, audio=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<video width=\"960\" height=\"540\" controls>\n",
       "  <source src=\"test_videos_output/solidYellowLeft.mp4\">\n",
       "</video>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HTML(\"\"\"\n",
    "<video width=\"960\" height=\"540\" controls>\n",
    "  <source src=\"{0}\">\n",
    "</video>\n",
    "\"\"\".format(yellow_output))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Writeup and Submission\n",
    "\n",
    "If you're satisfied with your video outputs, it's time to make the report writeup in a pdf or markdown file. Once you have this Ipython notebook ready along with the writeup, it's time to submit for review! Here is a [link](https://github.com/udacity/CarND-LaneLines-P1/blob/master/writeup_template.md) to the writeup template file.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Optional Challenge\n",
    "\n",
    "Try your lane finding pipeline on the video below.  Does it still work?  Can you figure out a way to make it more robust?  If you're up for the challenge, modify your pipeline so it works with this video and submit it along with the rest of your project!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def process_image(image):\n",
    "    #canny\n",
    "    gray = grayscale(image)\n",
    "    blur_gray = gaussian_blur(gray,7)\n",
    "    edges = canny(blur_gray, 50, 150)\n",
    "\n",
    "    # Next we'll create a masked edges image using cv2.fillPoly()\n",
    "    mask = np.zeros_like(edges)   \n",
    "    ignore_mask_color = 255   \n",
    "\n",
    "    # define the region-of-interest\n",
    "    imshape = image.shape\n",
    "    vertices = np.array([[(0,imshape[0]-70),(220, 400), (580, 400), (imshape[1],imshape[0]-70)]], dtype=np.int32)\n",
    "    masked_edges = region_of_interest(edges,vertices)\n",
    "\n",
    "    # Define the Hough transform parameters\n",
    "    rho = 1                             # distance resolution in pixels of the Hough grid\n",
    "    theta = np.pi/180                   # angular resolution in radians of the Hough grid\n",
    "    threshold = 100                     # minimum number of votes (intersections in Hough grid cell)\n",
    "    min_line_length = 20                 # minimum number of pixels making up a line\n",
    "    max_line_gap = 25                   # maximum gap in pixels between connectable line segments\n",
    "    line_image = np.copy(image)*0       # creating a blank to draw lines on\n",
    "\n",
    "    # Run Hough on edge detected image\n",
    "    line_image = hough_lines(masked_edges, rho, theta, threshold, min_line_length, max_line_gap,flag=0)\n",
    "\n",
    "    # Create the combined image, show and save it\n",
    "    color_edges = np.dstack((edges, edges, edges)) \n",
    "    finalimg = weighted_img(line_image,image)\n",
    "    return finalimg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] >>>> Building video test_videos_output/challenge.mp4\n",
      "[MoviePy] Writing video test_videos_output/challenge.mp4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 251/251 [00:11<00:00, 21.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[MoviePy] Done.\n",
      "[MoviePy] >>>> Video ready: test_videos_output/challenge.mp4 \n",
      "\n",
      "CPU times: user 48.9 s, sys: 4.26 s, total: 53.1 s\n",
      "Wall time: 12.7 s\n"
     ]
    }
   ],
   "source": [
    "challenge_output = 'test_videos_output/challenge.mp4'\n",
    "## To speed up the testing process you may want to try your pipeline on a shorter subclip of the video\n",
    "## To do so add .subclip(start_second,end_second) to the end of the line below\n",
    "## Where start_second and end_second are integer values representing the start and end of the subclip\n",
    "## You may also uncomment the following line for a subclip of the first 5 seconds\n",
    "##clip3 = VideoFileClip('test_videos/challenge.mp4').subclip(0,5)\n",
    "clip3 = VideoFileClip('test_videos/challenge.mp4')\n",
    "challenge_clip = clip3.fl_image(process_image)\n",
    "%time challenge_clip.write_videofile(challenge_output, audio=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<video width=\"960\" height=\"540\" controls>\n",
       "  <source src=\"test_videos_output/challenge.mp4\">\n",
       "</video>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HTML(\"\"\"\n",
    "<video width=\"960\" height=\"540\" controls>\n",
    "  <source src=\"{0}\">\n",
    "</video>\n",
    "\"\"\".format(challenge_output))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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